Computing at LLNL
Browse Projects

At a Glance

Discovery science and technical innovation

Computing at LLNL advances scientific discovery through foundational and innovative research; mission-driven data science; complex modeling, simulation, and analysis on powerful supercomputers; and creative technologies and software solutions. Everything at Livermore is Team Science. Thus, Computing is at the heart of many of LLNL’s most compelling national security and scientific efforts:

  • Operating one of the world’s largest HPC data centers
  • Deploying research and supercomputers to mitigate COVID-19
  • Preparing for one of the nation’s first exascale-class computers
  • Providing essential IT expertise across LLNL
  • Running one of the world’s largest control systems at NIF
  • Advancing cancer research and treatment
  • Designing AI and machine learning algorithms for science-based pattern discovery

Focus Areas

Computational Math

Powering scientific codes with advanced algebraic methods, algorithms, solvers, and discretizations

Computational Science

Supporting the Lab’s mission-driven programs with scientific modeling and simulation

Cyber Security

Meeting the nation’s top priorities to enhance security in a highly interconnected world

Data Science

Advancing AI, data analytics, machine learning, predictive modeling, statistics, UQ, and more

Emerging Architectures

Innovating in new directions for next-generation hardware designs and platform integrations

HPC Systems & Software

Providing environments, tools, and expertise for vital national security research and development

Information Technology

Meeting the Lab’s computer technology needs every day with enterprise applications and services

Software Engineering

Applying best practices to maximize the efficiency of software development and deployment


the first cohort of SEAM participants stand as a group in front of a large video screen

Source: Data Science Institute

ISCP projects make machine learning advantages tangible

To keep employees abreast of the latest tools, two data science–focused projects are under way as part of Lawrence Livermore’s Institutional Scientific Capability Portfolio.

AI/ML | Cloud Services | Data Science | Education | HPC Systems and Software | Information Technology | Scientific Cloud Computing

two utility workers in fluorescent vests survey a field of windmills overlaid with glowing dots, abstract shapes, and data analytics

Source: Department of Energy

Department of Energy announces FASST initiative

The proposed Frontiers in Artificial Intelligence for Science, Security and Technology (FASST) initiative will advance national security; attract and build a talented workforce; harness AI for scientific discovery; address energy challenges; develop technical expertise necessary for AI governance.

AI/ML | Collaborations | Computational Science | Data Science | Scientific ML

side-by-side topographical maps of the California Bay Area with Hayward Fault highlighted in blue and earthquake growth depicted in rainbow colors

Source: LLNL Computing


Featured Employee
Tammy Dahlgren stands in the Livermore Computing Complex B453

Tammy Dahlgren

Tammy Dahlgren has worked on a diverse variety of projects at the Lab, including supervisory control systems for the National Ignition Facility, animal disease modeling, mass hierarchical storage systems, RADIUSS, and more.

Featured Project
interior of the NIF target chamber under blue light

Backlighter Tech

The latest generation of a laser beam–delay technique owes its success to collaboration, dedication, and innovation.

Featured Event
two people working at a table with a tutorial playing on a laptop screen

HPC Software Tutorials

Learn how to use a modern, open-source HPC software stack! Throughout August, join our free tutorials on how to install and use several projects on AWS EC2 instances. No previous experience is necessary, and everyone is welcome.


People standing in front of LLNL block letters

We offer a promising future of discovery science and technical innovation

From software developers and applied math researchers to hardware architects and networking experts, computing at LLNL requires a top-flight workforce with a broad skill set. Check out our internship pages or visit LLNL's careers site to see how you can be a part of the future.